Individual skill

comfyui-media-workflows

Provider-independent production workflow for agents assembling, auditing, executing, and handing off ComfyUI node-graph workflows for image, video, upscale, inpaint, conditioning, and batch media generation; use when a task involves ComfyUI workflow JSON/API graphs, model and custom-node inventories, reproducibility, provenance, safety/rights review, local or cloud execution hygiene, or production QA.

skills/production/runtime-assembly/comfyui-media-workflows/SKILL.md

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# ComfyUI media workflow production

Use this skill to turn a creative or technical brief into a production-ready ComfyUI workflow package. Treat ComfyUI as a graph-based media production runtime, not as a prompt box. Your output should make the graph reproducible, reviewable, safe to run, and easy for another operator or system to execute.

This is provider-independent. Do not assume a specific checkpoint, hosted Comfy service, custom node set, or cloud vendor unless the user or the existing project explicitly names one. Re-check ComfyUI, custom-node, model, license, and cloud API facts at production time because they change frequently.

## Operating principles

- Start from the deliverable and constraints, then choose graph topology, models, nodes, and runtime. Do not start by pasting a popular workflow.
- Separate documented facts from production heuristics. Documented facts come from current docs, model cards, licenses, API schemas, and direct tests. Heuristics are your production judgment.
- Keep two workflow artifacts when possible:
  - `workflow.json`: frontend/save-format graph with layout, grouping, notes, and operator readability.
  - `workflow_api.json`: API-format graph for programmatic execution.
- Keep enough metadata to recreate a run: workflow JSON, input files with hashes, model identifiers and hashes, custom-node repo revisions, ComfyUI version, parameters, seed policy, hardware/runtime, output paths, and QA notes.
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